{"id":"W2985840885","doi":"10.1145/3355089.3356488","title":"SDM-NET","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":253,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Centre for Applied Computing and Interactive Media, City University of Hong Kong; Youth Innovation Promotion Association; Natural Science Foundation of Beijing Municipality; SenseTime Group; City University of Hong Kong; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Foundation for Innovative Research Groups of the National Natural Science Foundation of China; National Natural Science Foundation of China; Tencent","keywords":"Polygon mesh; Computer science; Net (polyhedron); Autoencoder; Interpolation (computer graphics); Artificial intelligence; Set (abstract data type); Artificial neural network; Surface (topology); Computer vision; Topology (electrical circuits); Computer graphics (images); Geometry; Image (mathematics); Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000448384,0.001116089,0.0006679635,0.0006699198,0.0004060303,0.001260504,0.003047489,0.001429016,0.02482415],"category_scores_gemma":[0.001759053,0.0005300511,0.001061245,0.0005551888,0.0005056033,0.001798842,0.002002919,0.001744059,0.008368261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146938,"about_ca_system_score_gemma":0.001389622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004824948,"about_ca_topic_score_gemma":0.01048146,"domain_scores_codex":[0.9997048,0.00003588973,0.00001861004,0.00009640047,0.0001002777,0.00004410607],"domain_scores_gemma":[0.9997134,0.00008279128,0.00001591858,0.00008246159,0.0000750512,0.00003033668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003648933,0.0002217262,0.001852794,0.0005019044,0.0001669002,0.0003257183,0.00005946684,0.4783649,0.006500576,0.05493267,0.1010822,0.3556262],"study_design_scores_gemma":[0.00003265191,0.00004422099,0.00009618739,0.00002105667,0.00001300961,0.00007273114,0.000007905728,0.9551499,0.002787917,0.02019357,0.02156928,0.00001162434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0156172,0.00140724,0.889369,0.001147148,0.0007273798,0.0002833187,0.008298863,0.04406215,0.03908771],"genre_scores_gemma":[0.2628979,0.001256492,0.6511538,0.002057662,0.0001923116,0.0008809377,0.03262142,0.003932962,0.04500651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02482415,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067763841524661,"score_gpt":0.2064223782902952,"score_spread":0.1957447398750486,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}